RL for ZSL in images was introduced by Liu et al. [1]} by using a combination of ontology and RL. In zero-shot text classification, Ye et al. [2]} propose a self-training method
to leverage unlabeled data. RL has also been used in the zero-shot setting for task generalization [3]}, active learning [4]}, and video object segmentation [5]}.
To the best of our knowledge, there is no previous work using RL for optimizing centroids in zero-shot recognition. paragraph4
.1em plus1ex minus.2ex-.5emDeep Approaches to Centroid Learning for Classification.
